The main objective of this thesis is to measure corporate transparency in the metal
mining industry in Peru, through an instrument or model proposed for the Peruvian reality,
which allows to measure transparency in its four dimensions such as corporate governance,
social, medium environmental and financial information. This information can be used by
mining companies, with the aim of generating confidence in interest groups, in order to add
value for companies and contribute to the development of our country. The research was
based on the models of transparency of the authors Testera & Cabeza and the Business
Intelligence model, which after analyzing them, four measurable dimensions were
established. The technique of descriptive statistics and multivariable linear regression were
used with the use of IBM Statistics v. Software 24 in order to determine the model with the
best equation through the correlation, linearity and residue analysis measures for the values of
transparency and the dimensions of the companies taken as a sample. A quantitative approach
with a descriptive scope was used, the research design was non-experimental due to the fact
that variables were not manipulated, and cross-sectional because it was collected in a single
moment.
According to the study carried out, it was determined that the level of transparency of
the companies taken as a sample presented a high level of transparency, obtaining an average
of 80.10%. Likewise, the reliability of the information obtained from the internet information
and the assessment of the collaborators is adequate according to the statistical results
observed. For the aforementioned, we consider that this research is a tool of great use for
companies in the mining industry because there is evidence of a need for transparency and
access to information to predict political corruption, social conflicts, and environmental
pollution; all related to the development of mining projects in the country.